Search results for "GEP"

showing 10 items of 1017 documents

Selective Change-Driven Image Processing: A Speeding-Up Strategy

2009

Biologically inspired schemes are a source for the improvement of visual systems. Real-time implementation of image processing algorithms is constrained by the large amount of data to be processed. Full image processing is many times unnecessary since there are many pixels that suffer a small change or not suffer any change at all. A strategy based on delivering and processing pixels, instead of processing the complete frame, is presented. The pixels that have suffered higher changes in each frame, ordered by the absolute value of its change, are read-out and processed. Two examples are shown: a morphological motion detection algorithm and the Horn and Schunck optical flow algorithm. Result…

Pixelbusiness.industryComputer scienceFrame (networking)Digital image processingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowMotion detectionComputer visionImage processingAbsolute valueArtificial intelligencebusiness
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Texture Discrimination Using Hierarchical Complex Networks

2008

Texture analysis represents one of the main areas in image processing and computer vision. The current article describes how complex networks have been used in order to represent and characterized textures. More speci?cally, networks are derived from the texture images by expressing pixels as network nodes and similarities between pixels as network edges. Then, measurements such as the node degree, strengths and clustering coe?cient are used in order to quantify properties of the connectivity and topology of the analyzed networks. Because such properties are directly related to the structure of the respective texture images, they can be used as features for characterizing and classifying te…

Pixelbusiness.industryComputer scienceNode (networking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONChaos gamePattern recognitionImage processingComplex networkTexture (geology)Computer Science::Computer Vision and Pattern RecognitionArtificial intelligenceCluster analysisbusinessTopology (chemistry)
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Affine camera calibration from homographies of parallel planes

2010

This paper deals with the problem of retrieving the affine structure of a scene from two or more images of parallel planes. We propose a new approach that is solely based on plane homographies, calculated from point correspondences, and that does not require the recovery of the 3D structure of the scene. Neither vanishing points nor lines need to be extracted from the images. The case of a moving camera with constant intrinsic parameters and the one of cameras with possibly different parameters are both addressed. Extensive experiments with both synthetic and real images have validated our approach.

Pixelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionReal imagePlane (Unicode)Computer Science::Computer Vision and Pattern RecognitionPoint (geometry)Computer visionAffine transformationArtificial intelligenceVanishing pointbusinessCamera resectioningMathematics2010 IEEE International Conference on Image Processing
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Image Compression by 2D Motif Basis

2011

Approaches to image compression and indexing based on extensions to 2D of some of the Lempel-Ziv incremental parsing techniques have been proposed in the recent past. In these approaches, an image is decomposed into a number of patches, consisting each of a square or rectangular solid block. This paper proposes image compression techniques based on patches that are not necessarily solid blocks, but are affected instead by a controlled number of undetermined or don't care pixels. Such patches are chosen from a set of candidate motifs that are extracted in turn from the image 2D motif basis, the latter consisting of a compact set of patterns that result from the autocorrelation of the image w…

Pixelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionData_CODINGANDINFORMATIONTHEORYcomputer.file_formatJPEGImage (mathematics)Compression (functional analysis)Motif extraction Pattern discoveryArtificial intelligencebusinessAlgorithmcomputerImage compressionData compressionMathematicsColor Cell CompressionBlock (data storage)2011 Data Compression Conference
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Electron Holography for Electric and Magnetic Field Measurements and Its Application for Nanophysics

2011

Abstract Texture constitutes one of the fundamental properties of objects besides color and shape. In several image analysis applications, it is often the only exploitable quality of objects. As such, it has been studied, described, segmented, synthesized, or in short, analyzed extensively. Among the plethora of texture description methods, mathematical morphology deserves special attention as it excels at the exploitation of spatial relationships among pixels, rendering it inherently suitable for texture description. In this chapter, we focus on morphological texture description methods for grey-scale and color images in an effort to spread the advantages of this framework in the context o…

Pixelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRangingMathematical morphologyElectron holographyMagnetic fieldRendering (computer graphics)Computer visionArtificial intelligenceSmall particlesbusinessComputingMethodologies_COMPUTERGRAPHICSMathematics
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Smartphone determination of fat in cured meat products

2017

Abstract A method has been developed to determine the fat content in different cold meat products by image processing using the camera of a mobile phone. Salchichon , chorizo , salami and cured ham pictures were taken with a Meizu M2 Mini mobile phone camera under fixed lighting conditions of the light emitting diode flash of the mobile phone. Images were treated with Matlab to obtain the mean pixels of average red, green and blue camera values colours (RGB) of the pixels and different data pretreatments were taken into account to correlate colour parameters with fat content values determined in a series of commercially available samples by the Soxhlet method. RGB values were used as input …

Pixelbusiness.industryFat content010401 analytical chemistryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAnalytical chemistryImage processingPattern recognition04 agricultural and veterinary sciences040401 food science01 natural sciences0104 chemical sciencesAnalytical ChemistrySupport vector machine0404 agricultural biotechnologyPartial least squares regressionCalibrationRGB color modelArtificial intelligenceMobile phone camerabusinessSpectroscopyMathematicsMicrochemical Journal
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Architectural Scenes Reconstruction from Uncalibrated Photos and Map Based Model Knowledge

2001

In this paper we consider the problem of reconstructing architectural scenes from multiple photographs taken from arbitrarily viewpoints. The original contribution of this work is the use of a map as a source of a priori knowledge and geometric constraints in order to obtain in a fast and simple way a detailed model of a scene. We suppose images are uncalibrated and have at least one planar structure as a facade for exploiting the planar homography induced between world plane and image to calculate a first estimation of the projection matrix. Estimations are improved by using correspondences between images and map. We show how these simple constraints can be used to calibrate the cameras, t…

Plane (geometry)business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTriangulation (social science)Triangulation (computer vision)Iterative reconstructionProjection (linear algebra)Image (mathematics)Trifocal tensorSimple (abstract algebra)Computer Science::Computer Vision and Pattern RecognitionHomographyComputer visionArtificial intelligencebusiness
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Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.

2019

Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper "Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers." The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.

Point cloudComputingMethodologies_PATTERNRECOGNITIONEngineeringRegistrationComputer and Information ScienceVisionCalibrationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRGB-D
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Superresolved imaging of remote moving targets.

2006

We present a superresolving approach that allows one to exceed the diffraction limit and recover highly resolved contours of moving targets from a sequence of low-resolution images. The presented approach is suitable for remote sensing applications. The resolution decoding algorithm that is used to recover the high-resolution features of the target can be run partially via optical means and that way can be used to reduce the required computational complexity.

Point spread functionComputational complexity theorybusiness.industryComputer scienceRemote sensing applicationMovementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideo RecordingInformation Storage and RetrievalReproducibility of ResultsImage processingIterative reconstructionImage EnhancementSensitivity and SpecificityAtomic and Molecular Physics and OpticsPattern Recognition AutomatedOpticsSubtraction TechniqueImage Interpretation Computer-AssistedPhotographyLimit (mathematics)businessImage resolutionDecoding methodsAlgorithmsOptics letters
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One-dimensional iterative algorithm for three-dimensional point-spread function engineering.

2001

We present a new method with which to binarize pupil filters designed to control the three-dimensional irradiance distribution in the focal volume of an optical system. The method is based on a one-dimensional iterative algorithm, which results in efficient use of computation time and in simple, easy to fabricate binary filters. An acceptable degree of resemblance between the point-spread function of the annular binary filter and that of its gray-tone counterpart is obtained.

Point spread functionComputer scienceIterative methodbusiness.industryComputationFast Fourier transformComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBinary numberFilter (signal processing)Function (mathematics)Atomic and Molecular Physics and OpticsOpticsOptical filterbusinessOptics letters
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